Yen-Ling Kuo - RankMe

72 papers A* 12A 4B 7Misc 2Journal 30Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning Force-Regulated Manipulation with a Low-Cost Tactile-Force-Controlled Gripper. CoRR Xuhui Kang, Tongxuan Tian, Sung-Wook Lee, Binghao Huang, Yunzhu Li, Yen-Ling Kuo
2025	—	`conf`	A Pilot Study Exploring the Alignment of Humans and CNN During Perception of Social Interactions. ICIAP (Workshops 1) Guido Vallarino, Lucia Schiatti, Matteo Moro, Yen-Ling Kuo, Mengmi Zhang, Monica Gori, Boris Katz, Andrei Barbu, Alessio Del Bue
2025	J	`jnl`	CLASS: Contrastive Learning via Action Sequence Supervision for Robot Manipulation. CoRR Sung-Wook Lee, Xuhui Kang, Brandon Yang, Yen-Ling Kuo
2025	J	`jnl`	CaseEdit: Enhancing Localized Commonsense Reasoning via Null-Space Constrained Knowledge Editing in Small Parameter Language Models. CoRR Varun Reddy, Yen-Ling Kuo
2025	A*	`conf`	Diff-Dagger: Uncertainty Estimation With Diffusion Policy for Robotic Manipulation. ICRA Sung-Wook Lee, Xuhui Kang, Yen-Ling Kuo
2025	—	`conf`	Exploring Human-Model Alignment in Visual Social Attention During Help-and-Hinder Social Interaction Classification. ICCVW Lucia Schiatti, Guido Vallarino, Sabrina M. Lopez, Yen-Ling Kuo, Matteo Moro, Mengmi Zhang, Monica Gori, Alessio Del Bue, Boris Katz, Andrei Barbu
2025	A*	`conf`	Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging. CVPR Bo Wang, Dingwei Tan, Yen-Ling Kuo, Zhaowei Sun, Jeremy M. Wolfe, Tat-Jen Cham, Mengmi Zhang
2025	A	`conf`	Incorporating Task Progress Knowledge for Subgoal Generation in Robotic Manipulation through Image Edits. WACV Xuhui Kang, Yen-Ling Kuo
2025	J	`jnl`	Learning When to Stop: Adaptive Latent Reasoning via Reinforcement Learning. CoRR Alex Ning, Yen-Ling Kuo, Gabe Gomes
2025	J	`jnl`	Moving Out: Physically-grounded Human-AI Collaboration. CoRR Xuhui Kang, Sung-Wook Lee, Haolin Liu, Yuyan Wang, Yen-Ling Kuo
2025	A*	`conf`	MuMA-ToM: Multi-modal Multi-Agent Theory of Mind. AAAI Haojun Shi, Suyu Ye, Xinyu Fang, Chuanyang Jin, Leyla Isik, Yen-Ling Kuo, Tianmin Shu
2025	J	`jnl`	O CoRR Tongxuan Tian, Xuhui Kang, Yen-Ling Kuo
2025	—	`conf`	Towards Physically-grounded Human-AI Collaboration. AAAI Spring Symposia Xuhui Kang, Yen-Ling Kuo
2024	B	`conf`	A Transformer-Based Model for the Prediction of Human Gaze Behavior on Videos. ETRA Süleyman Özdel, Yao Rong, Berat Mert Albaba, Yen-Ling Kuo, Xi Wang, Enkelejda Kasneci
2024	J	`jnl`	A Transformer-Based Model for the Prediction of Human Gaze Behavior on Videos. CoRR Süleyman Özdel, Yao Rong, Berat Mert Albaba, Yen-Ling Kuo, Xi Wang, Enkelejda Kasneci
2024	J	`jnl`	Baba Is AI: Break the Rules to Beat the Benchmark. CoRR Nathan Cloos, Meagan Jens, Michelangelo Naim, Yen-Ling Kuo, Ignacio Cases, Andrei Barbu, Christopher J. Cueva
2024	J	`jnl`	Diff-DAgger: Uncertainty Estimation with Diffusion Policy for Robotic Manipulation. CoRR Sung-Wook Lee, Yen-Ling Kuo
2024	B	`conf`	Gaze-Guided Graph Neural Network for Action Anticipation Conditioned on Intention. ETRA Süleyman Özdel, Yao Rong, Berat Mert Albaba, Yen-Ling Kuo, Xi Wang, Enkelejda Kasneci
2024	J	`jnl`	Gaze-Guided Graph Neural Network for Action Anticipation Conditioned on Intention. CoRR Süleyman Özdel, Yao Rong, Berat Mert Albaba, Yen-Ling Kuo, Xi Wang, Enkelejda Kasneci
2024	J	`jnl`	Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging. CoRR Bo Wang, Dingwei Tan, Yen-Ling Kuo, Zhaowei Sun, Jeremy M. Wolfe, Tat-Jen Cham, Mengmi Zhang
2024	J	`jnl`	Incorporating Task Progress Knowledge for Subgoal Generation in Robotic Manipulation through Image Edits. CoRR Xuhui Kang, Yen-Ling Kuo
2024	A*	`conf`	Learning Representations for Robust Human-Robot Interaction. AAAI Yen-Ling Kuo
2024	J	`jnl`	Learning representations for robust human-robot interaction. AI Mag. Yen-Ling Kuo
2024	—	`conf`	MMToM-QA: Multimodal Theory of Mind Question Answering. ACL (1) Chuanyang Jin, Yutong Wu, Jing Cao, Jiannan Xiang, Yen-Ling Kuo, Zhiting Hu, Tomer D. Ullman, Antonio Torralba, Joshua B. Tenenbaum, Tianmin Shu
2024	J	`jnl`	MMToM-QA: Multimodal Theory of Mind Question Answering. CoRR Chuanyang Jin, Yutong Wu, Jing Cao, Jiannan Xiang, Yen-Ling Kuo, Zhiting Hu, Tomer D. Ullman, Antonio Torralba, Joshua B. Tenenbaum, Tianmin Shu
2024	J	`jnl`	MuMA-ToM: Multi-modal Multi-Agent Theory of Mind. CoRR Haojun Shi, Suyu Ye, Xinyu Fang, Chuanyang Jin, Leyla Isik, Yen-Ling Kuo, Tianmin Shu
2024	A*	`conf`	Neural Amortized Inference for Nested Multi-Agent Reasoning. AAAI Kunal Jha, Tuan Anh Le, Chuanyang Jin, Yen-Ling Kuo, Joshua B. Tenenbaum, Tianmin Shu
2024	—	`conf`	ROMEO: Revisiting Optimization Methods for Reconstructing 3D Human-Object Interaction Models From Images. ECCV Workshops (13) Alexey Gavryushin, Yifei Liu, Daoji Huang, Yen-Ling Kuo, Julien Valentin, Luc Van Gool, Otmar Hilliges, Xi Wang
2024	A*	`conf`	Summarize the Past to Predict the Future: Natural Language Descriptions of Context Boost Multimodal Object Interaction Anticipation. CVPR Razvan-George Pasca, Alexey Gavryushin, Muhammad Hamza, Yen-Ling Kuo, Kaichun Mo, Luc Van Gool, Otmar Hilliges, Xi Wang
2024	J	`jnl`	Unforgettable Lessons from Forgettable Images: Intra-Class Memorability Matters in Computer Vision Tasks. CoRR Jie Jing, Qing Lin, Shuangpeng Han, Lucia Schiatti, Yen-Ling Kuo, Mengmi Zhang
2023	J	`jnl`	GAME-UP: Game-Aware Mode Enumeration and Understanding for Trajectory Prediction. CoRR Justin Lidard, Oswin So, Yanxia Zhang, Jonathan A. DeCastro, Xiongyi Cui, Xin Huang, Yen-Ling Kuo, John J. Leonard, Avinash Balachandran, Naomi Ehrich Leonard, Guy Rosman
2023	J	`jnl`	Neural Amortized Inference for Nested Multi-agent Reasoning. CoRR Kunal Jha, Tuan Anh Le, Chuanyang Jin, Yen-Ling Kuo, Joshua B. Tenenbaum, Tianmin Shu
2023	—	`conf`	Reconstruction of 3D Interaction Models from Images using Shape Prior. ICCV (Workshops) Mehrshad Mirmohammadi, Parham Saremi, Yen-Ling Kuo, Xi Wang
2023	J	`jnl`	Summarize the Past to Predict the Future: Natural Language Descriptions of Context Boost Multimodal Object Interaction. CoRR Razvan-George Pasca, Alexey Gavryushin, Yen-Ling Kuo, Otmar Hilliges, Xi Wang
2023	A*	`conf`	Zero-Shot Linear Combinations of Grounded Social Interactions with Linear Social MDPs. AAAI Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Bennett Stankovits, Dan Gutfreund, Joshua B. Tenenbaum, Boris Katz, Andrei Barbu
2022	—	`—`	Compositional Robot Learning for Generalizable Interactions Yen-Ling Kuo
2022	A*	`conf`	Incorporating Rich Social Interactions Into MDPs. ICRA Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Bennett Stankovits, Dan Gutfreund, Joshua B. Tenenbaum, Boris Katz, Andrei Barbu
2022	B	`conf`	Motion-centric Tools to Reflect on Digital Creative Experiences and Created Outputs. Creativity & Cognition Yen-Ting Cho, Yen-Ling Kuo, Yen-Ting Yeh, Huai-Hsuan Liang, Yu-Ting Li
2022	B	`conf`	Quantifying the Emergence of Symbolic Communication. CogSci Emily Cheng, Yen-Ling Kuo, Josefina Correa, Boris Katz, Ignacio Cases, Andrei Barbu
2022	—	`conf`	Reconstructing Action-Conditioned Human-Object Interactions Using Commonsense Knowledge Priors. 3DV Xi Wang, Gen Li, Yen-Ling Kuo, Muhammed Kocabas, Emre Aksan, Otmar Hilliges
2022	J	`jnl`	Reconstructing Action-Conditioned Human-Object Interactions Using Commonsense Knowledge Priors. CoRR Xi Wang, Gen Li, Yen-Ling Kuo, Muhammed Kocabas, Emre Aksan, Otmar Hilliges
2022	A*	`conf`	Trajectory Prediction with Linguistic Representations. ICRA Yen-Ling Kuo, Xin Huang, Andrei Barbu, Stephen G. McGill, Boris Katz, John J. Leonard, Guy Rosman
2021	—	`conf`	Compositional Networks Enable Systematic Generalization for Grounded Language Understanding. EMNLP (Findings) Yen-Ling Kuo, Boris Katz, Andrei Barbu
2021	J	`jnl`	Compositional RL Agents That Follow Language Commands in Temporal Logic. Frontiers Robotics AI Yen-Ling Kuo, Boris Katz, Andrei Barbu
2021	J	`jnl`	Incorporating Rich Social Interactions Into MDPs. CoRR Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Bennett Stankovits, Dan Gutfreund, Joshua B. Tenenbaum, Boris Katz, Andrei Barbu
2021	B	`conf`	IntuModels: Enabling Interactive Modeling for the Novice through Idea Generation and Selection. Creativity & Cognition Yen-Ting Cho, Yen-Ling Kuo, Yen-Ting Yeh, Yen-Yi Huang, Po-Lun Huang
2021	Misc	`conf`	Social Interactions as Recursive MDPs. CoRL Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Boris Katz, Andrei Barbu
2021	J	`jnl`	Trajectory Prediction with Linguistic Representations. CoRR Yen-Ling Kuo, Xin Huang, Andrei Barbu, Stephen G. McGill, Boris Katz, John J. Leonard, Guy Rosman
2020	J	`jnl`	Compositional Networks Enable Systematic Generalization for Grounded Language Understanding. CoRR Yen-Ling Kuo, Boris Katz, Andrei Barbu
2020	A*	`conf`	Deep compositional robotic planners that follow natural language commands. ICRA Yen-Ling Kuo, Boris Katz, Andrei Barbu
2020	J	`jnl`	Deep compositional robotic planners that follow natural language commands. CoRR Yen-Ling Kuo, Boris Katz, Andrei Barbu
2020	A	`conf`	Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas. IROS Yen-Ling Kuo, Boris Katz, Andrei Barbu
2020	J	`jnl`	Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas. CoRR Yen-Ling Kuo, Boris Katz, Andrei Barbu
2020	J	`jnl`	Investigating the Decoders of Maximum Likelihood Sequence Models: A Look-ahead Approach. CoRR Yu-Siang Wang, Yen-Ling Kuo, Boris Katz
2020	Misc	`conf`	Learning a natural-language to LTL executable semantic parser for grounded robotics. CoRL Christopher Wang, Candace Ross, Yen-Ling Kuo, Boris Katz, Andrei Barbu
2020	J	`jnl`	Learning a natural-language to LTL executable semantic parser for grounded robotics. CoRR Christopher Wang, Candace Ross, Yen-Ling Kuo, Boris Katz, Andrei Barbu
2019	—	`conf`	Deep compositional robotic planners that follow natural language commands. ViGIL@NeurIPS Yen-Ling Kuo, Boris Katz, Andrei Barbu
2019	A*	`conf`	MovIPrint: Move, Explore and Fabricate. ACM Multimedia Yen-Ting Cho, Yen-Ling Kuo, Yen-Ting Yeh, Yi-Chin Lee
2018	A	`conf`	Deep Sequential Models for Sampling-Based Planning. IROS Yen-Ling Kuo, Andrei Barbu, Boris Katz
2018	J	`jnl`	Deep sequential models for sampling-based planning. CoRR Yen-Ling Kuo, Andrei Barbu, Boris Katz
2016	—	`conf`	Coupled Semi-Supervised Learning for Chinese Knowledge Extraction. AAAI Workshop: Knowledge Extraction from Text Leeheng Ma, Yi-Ting Tsao, Yen-Ling Kuo, Jane Yung-jen Hsu
2016	—	`conf`	MovISee. SIGGRAPH ASIA Art Gallery Yen-Ting Cho, Yen-Ling Kuo, Yen-Ting Yeh
2012	—	`conf`	Contextual Commonsense Knowledge Acquisition from Social Content by Crowd-Sourcing Explanations. HCOMP@AAAI Yen-Ling Kuo, Jane Yung-jen Hsu, Fuming Shih
2012	J	`jnl`	Planning for Reasoning with Multiple Common Sense Knowledge Bases. ACM Trans. Interact. Intell. Syst. Yen-Ling Kuo, Jane Yung-jen Hsu
2012	—	`conf`	Utilizing descriptive documents for adaptive and reconfigurable M2M systems. SOCA I-lung Tsai, Wan-rong Jih, Yen-Ling Kuo, Jane Yung-jen Hsu
2011	B	`conf`	ACTraversal: Ranking Crowdsourced Commonsense Assertions and Certifications. PRIMA Tao-Hsuan Chang, Yen-Ling Kuo, Jane Yung-jen Hsu
2011	B	`conf`	Capability Modeling of Knowledge-Based Agents for Commonsense Knowledge Integration. PRIMA Yen-Ling Kuo, Jane Yung-jen Hsu
2011	A	`conf`	Multiagent environment design in human computation. AAMAS Chien-Ju Ho, Yen-Ling Kuo, Jane Yung-jen Hsu
2011	A*	`conf`	Resource-Bounded Crowd-Sourcing of Commonsense Knowledge. IJCAI Yen-Ling Kuo, Jane Yung-jen Hsu
2010	—	`conf`	Bridging Common Sense Knowledge Bases with Analogy by Graph Similarity. Collaboratively-Built Knowledge Sources and AI Yen-Ling Kuo, Jane Yung-jen Hsu
2010	—	`conf`	Goal-Oriented Knowledge Collection. AAAI Fall Symposium: Commonsense Knowledge Yen-Ling Kuo, Jane Yung-jen Hsu
2009	—	`conf`	Community-based game design: experiments on social games for commonsense data collection. KDD Workshop on Human Computation Yen-Ling Kuo, Jong-Chuan Lee, Kai-Yang Chiang, Rex Wang, Edward Shen, Cheng-wei Chan, Jane Yung-jen Hsu